Integrating Multimodal Neuroimaging and Physical-Health Markers for Autism Spectrum Disorder in the ABCD Study
This study provides a proof of concept that combining multimodal MRI and physical-health data within a large, demographically representative cohort can enhance ASD classification and yield biologically interpretable features. The population-based design situates these findings within a community context and offers a preliminary framework for integrating neural and physiological measures in future large-scale studies of neurodevelopmental diversity.
Authors
- Pratheek S. Bobba (ORCID: https://orcid.org/0000-0003-4255-301X)
- Alicia Stephan (ORCID: https://orcid.org/0000-0003-3430-0944)
- Seyedmehdi Payabvash (ORCID: https://orcid.org/0000-0003-4628-0370)
- Lin Huang (ORCID: https://orcid.org/0000-0002-2678-2085)
- Dorin Zeevi
- Ajay Malhotra
- Hector Acosta-Rodriguez
Institutions
- NewYork–Presbyterian Hospital (US)
- Columbia University Irving Medical Center (US)
- Yale University (US)
Publication Details
- Journal
- Journal of Integrative Neuroscience
- Published
- 2026-02-26
- DOI
- https://doi.org/10.31083/jin48212
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00